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To understand the risks posed by AI, follow the money

O'Reilly on Data

Others retort that large language models (LLMs) have already reached the peak of their powers. It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance.

Risk 229
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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. There are a lot of risks and a lot of land mines to navigate,” says the analyst. It’s an environment that taxes the decision-making skills of the even the most savvy CIOs.

Risk 123
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7 cloud market trends and how they will impact IT

CIO Business Intelligence

The cloud market has been a picture of maturity of late. The pecking order for cloud infrastructure has been relatively stable, with AWS at around 33% market share, Microsoft Azure second at 22%, and Google Cloud a distant third at 11%. Here are the top cloud market trends and how they are impacting CIO’s cloud strategies.

Marketing 141
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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.

Marketing 113
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4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Interrelations between these various partners further complicate the risk equation. That’s where the contract comes into play.

Risk 111
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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? You must detect when the model has become stale, and retrain it as necessary. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage.

Marketing 363
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A Complete Guide To Driving Digital Transformation In Marketing

datapine

Digital transformation of your business is possible when you can use emerging automation, Machine Learning (ML), and Artificial Intelligence (AI) technologies in your marketing. However, when it comes to digital transformation in marketing, there is a larger revolution in how marketers use modern tools and technologies.